conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)

Papers per year

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

'10

'15

'20

'25

Papers (including subtopics)

Learning to Compose Dynamic Tree Structures for Visual Contexts CVPR 2019 Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning AAAI 2019 Learning to Confuse: Generating Training Time Adversarial Data with Auto-Encoder NeurIPS 2019 Learning to Control the Fine-grained Sentiment for Story Ending Generation ACL 2019 Learning to Copy for Automatic Post-Editing EMNLP 2019 Learning to Detect Human-Object Interactions With Knowledge CVPR 2019 Learning to Explain: Answering Why-Questions via Rephrasing ACL 2019 Learning to Extract Flawless Slow Motion From Blurry Videos CVPR 2019 Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora EMNLP 2019 Learning to Generate Synthetic Data via Compositing CVPR 2019 Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation EMNLP 2019 Learning to Infer Implicit Surfaces without 3D Supervision NeurIPS 2019 Learning to Learn Relation for Important People Detection in Still Images CVPR 2019 Learning to Localize Objects with Noisy Labeled Instances AAAI 2019 Learning to Localize Through Compressed Binary Maps CVPR 2019 Learning to Navigate Using Mid-Level Visual Priors CoRL 2019 Learning to Optimize in Swarms NeurIPS 2019 Learning to Order Graph Elements with Application to Multilingual Surface Realization EMNLP 2019 Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis NeurIPS 2019 Learning to Predict Novel Noun-Noun Compounds ACL 2019 Learning to Predict Without Looking Ahead: World Models Without Forward Prediction NeurIPS 2019 Learning to Quantize Deep Networks by Optimizing Quantization Intervals With Task Loss CVPR 2019 Learning to Reconstruct People in Clothing From a Single RGB Camera CVPR 2019 Learning to Reduce Dual-Level Discrepancy for Infrared-Visible Person Re-Identification CVPR 2019 Learning to request guidance in emergent language EMNLP 2019